CN114719897A - Oil tank monitoring system for gas station based on LoRa technology and working method thereof - Google Patents
Oil tank monitoring system for gas station based on LoRa technology and working method thereof Download PDFInfo
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- CN114719897A CN114719897A CN202210232146.3A CN202210232146A CN114719897A CN 114719897 A CN114719897 A CN 114719897A CN 202210232146 A CN202210232146 A CN 202210232146A CN 114719897 A CN114719897 A CN 114719897A
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- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012544 monitoring process Methods 0.000 title claims abstract description 31
- QVFWZNCVPCJQOP-UHFFFAOYSA-N chloralodol Chemical compound CC(O)(C)CC(C)OC(O)C(Cl)(Cl)Cl QVFWZNCVPCJQOP-UHFFFAOYSA-N 0.000 title claims abstract description 29
- 238000005516 engineering process Methods 0.000 title claims abstract description 27
- 239000007788 liquid Substances 0.000 claims abstract description 72
- 230000005540 biological transmission Effects 0.000 claims abstract description 4
- 229910001220 stainless steel Inorganic materials 0.000 claims description 12
- 239000010935 stainless steel Substances 0.000 claims description 12
- 238000012360 testing method Methods 0.000 claims description 9
- 230000001133 acceleration Effects 0.000 claims description 3
- 238000007667 floating Methods 0.000 claims description 3
- 230000001788 irregular Effects 0.000 claims description 3
- 239000000523 sample Substances 0.000 claims description 3
- 239000002828 fuel tank Substances 0.000 claims 5
- 238000011017 operating method Methods 0.000 claims 3
- 239000003502 gasoline Substances 0.000 claims 2
- 239000000446 fuel Substances 0.000 claims 1
- 238000010276 construction Methods 0.000 abstract description 5
- 238000009434 installation Methods 0.000 abstract description 5
- 238000013461 design Methods 0.000 abstract description 2
- 238000004519 manufacturing process Methods 0.000 abstract description 2
- 238000012806 monitoring device Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
- B65D90/00—Component parts, details or accessories for large containers
- B65D90/48—Arrangements of indicating or measuring devices
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q9/00—Arrangements in telecontrol or telemetry systems for selectively calling a substation from a main station, in which substation desired apparatus is selected for applying a control signal thereto or for obtaining measured values therefrom
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/30—Services specially adapted for particular environments, situations or purposes
- H04W4/38—Services specially adapted for particular environments, situations or purposes for collecting sensor information
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
- B65D—CONTAINERS FOR STORAGE OR TRANSPORT OF ARTICLES OR MATERIALS, e.g. BAGS, BARRELS, BOTTLES, BOXES, CANS, CARTONS, CRATES, DRUMS, JARS, TANKS, HOPPERS, FORWARDING CONTAINERS; ACCESSORIES, CLOSURES, OR FITTINGS THEREFOR; PACKAGING ELEMENTS; PACKAGES
- B65D2590/00—Component parts, details or accessories for large containers
- B65D2590/0083—Computer or electronic system, e.g. GPS systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04Q—SELECTING
- H04Q2209/00—Arrangements in telecontrol or telemetry systems
- H04Q2209/80—Arrangements in the sub-station, i.e. sensing device
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Abstract
The invention provides a gas station oil tank monitoring system based on a LoRa technology, which comprises a tank body, a handheld terminal and a control center, wherein a data acquisition device, the handheld terminal and the control center are wirelessly connected through the LoRa technology and perform data transmission; the data acquisition device comprises a magnetostrictive liquid level instrument, and a temperature sensor is arranged in the magnetostrictive liquid level instrument; the bottom of the tank body is provided with a pressure sensor. The working method of the oil tank monitoring system is that the control center can calculate and update the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body in real time according to the data acquired by the data acquisition device. The invention has simple and ingenious structural design and convenient construction and installation, can accurately measure the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body, reduces personal errors and the labor intensity of personnel, provides accurate data for production and management, and is convenient for remote monitoring.
Description
Technical Field
The invention belongs to the technical field of oil tank monitoring, and particularly relates to an oil tank monitoring system for a gas station based on a LoRa technology and a working method thereof.
Background
In recent years, with the increasing of the management requirements of gas stations, various monitoring devices such as liquid level meter systems and the like are increased, most of the gas stations in China are already deployed at present, but the installation popularization degree of the monitoring devices is not high generally for some developing countries. Meanwhile, the construction specifications and the station building requirements of gas stations in part of overseas areas do not consider the reserved power supply data lines, or the reserved lines do not meet the requirements, so that unnecessary obstacles are caused to the installation of equipment in the subsequent information construction process. Particularly, in some stations, secondary construction is difficult, and rewiring is almost impossible.
In addition, the management and the safety of oil products play an important role in the operation process of the gas station, and the monitoring system commonly used in China has a single function and cannot meet the requirement of the gas station on accurate measurement of the oil tank.
In view of the above problems, a new monitoring system is urgently needed to solve the above problems.
Disclosure of Invention
In order to overcome the technical problem, the invention provides an oil tank monitoring system for a gas station based on an LoRa technology and a working method thereof, and the specific scheme is as follows:
a filling station oil tank monitoring system based on an LoRa technology comprises a tank body, a handheld terminal and a control center, wherein the data acquisition device, the handheld terminal and the control center are in wireless connection through the LoRa technology and perform data transmission, and the tank body is internally provided with the data acquisition device; the data acquisition device comprises a magnetostrictive liquid level meter, wherein the magnetostrictive liquid level meter comprises a stainless steel protection pipe, an electronic bin fixedly arranged at the upper part of the stainless steel protection pipe, a waveguide wire fixedly arranged in the stainless steel protection pipe, a density floater and an oil level floater which are arranged on the stainless steel protection pipe in a sliding way; a plurality of temperature sensors are also arranged in the magnetostrictive liquid level meter; and a pressure sensor is arranged at the bottom of the tank body.
Based on the above, the electronic cabin is internally provided with the inclination angle sensor.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the control center can calculate and update the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body in real time according to the data acquired by the data acquisition device.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the liquid level height in the tank body is as follows:
H1=L–V*△t1
in the formula:
△t1=t1-T,
h1 denotes the measured level height;
t represents the moment when the electronic bin in the magnetostrictive liquid level meter sends out torsional waves;
t1 is the torsional wave reception time;
v represents the propagation velocity of the torsional wave in the waveguide filament;
l represents the probe length.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the density of the liquid in the tank body is as follows:
G=ρ1(V0+S*h1)=ρ2(V0+S*h2)
in the formula:
g represents the weight of the density float;
ρ 1 represents an initial calibration density;
ρ 2 represents the measured liquid density;
v0 represents the volume of the irregular part of the density float immersed in the liquid;
h1 represents the height at which the regular part of the density float is immersed in the liquid in the density of ρ 1;
h2 represents the height at which the regular part of the density float is immersed in the liquid of the density ρ 2;
s represents the cross-sectional area of the regular portion of the density float.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the leakage rate of the liquid in the tank body is as follows:
calculating the leakage rate of each time according to the temperature compensation to obtain (L1, S1), (L2, S2), …, (Li, Si), wherein Li is the simulated leakage rate,
in the formula:
li-leak rate of level gauge system test;
si-the simulated leakage rate that actually occurs;
i-data from 1 to n.
Deviation B:
in the formula:
b-the average value obtained by dividing the difference between the leak rate and the simulated leak rate by the number of tests, and the deviation is used for measuring the accuracy of the control center and can be positive or negative.
Variance BD:
standard deviation SD: the standard deviation is the square root of the variance;
to check whether the system under test has a statistically significant deviation from zero, the deviation B calculated above is tested to calculate the t statistic as follows:
false alarm rate PFA: when the storage tank or the pipeline is actually closed, the displayed leakage rate exceeds the probability that the system should display the boundary condition or standard of the leakage, and generally, if the estimated leakage rate exceeds a certain value or a certain boundary condition C (such as 0.4L/H), the control center judges that the storage tank leaks; assuming C represents the threshold or standard for leakage, B is the estimated deviation of the system, SD is the standard deviation, then the false alarm rate PFA:
PFA=P{t>(C-B)/SD}………………………………(5)
the accuracy rate PD is the probability that the system can correctly identify the leak rate of a certain size, and when the leak rate is R, the accuracy rate PD:
PD=P{t>(C-R-B)/SD}………………………………(6)
according to the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the liquid mass in the tank body is as follows:
M=A×(P1-P3)
in the formula:
m is the oil weight;
rho is the average density of the liquid in the tank;
P1is the tank bottom pressure;
P3as tank top pressure (floating roof tank P)3=0);
H1Is T1Mounting height;
h is the liquid level height;
a is the effective cross-sectional area of the tank;
g represents the gravitational acceleration.
Compared with the prior art, the invention has outstanding substantive characteristics and remarkable progress, and particularly has the following advantages:
the oil tank monitoring system for the gas station based on the LoRa technology and the working method thereof provided by the invention have the advantages that the structural design is simple and ingenious, the construction and installation are convenient, the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body can be accurately measured, the human errors and the labor intensity of personnel are reduced, accurate data are provided for production and management, and meanwhile, the remote monitoring is convenient.
Detailed Description
The technical solution of the present invention will be described in detail through the following embodiments.
Examples
The invention provides a filling station oil tank monitoring system based on an LoRa technology, which comprises a tank body, a handheld terminal and a control center, wherein the data acquisition device, the handheld terminal and the control center are wirelessly connected and perform data transmission through the LoRa technology; the data acquisition device comprises a magnetostrictive liquid level instrument, the magnetostrictive liquid level instrument comprises a stainless steel protection pipe, an electronic bin fixedly arranged at the upper part of the stainless steel protection pipe, a waveguide wire fixedly arranged in the stainless steel protection pipe, a density floater and an oil level floater, and the density floater and the oil level floater are slidably arranged on the stainless steel protection pipe; a plurality of temperature sensors are also arranged in the magnetostrictive liquid level meter; and a pressure sensor is arranged at the bottom of the tank body.
Considering that the magnetostrictive liquid level meter can incline during installation or use, an inclination angle sensor is arranged in the electronic cabin to monitor the magnetostrictive liquid level meter.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the control center can calculate and update the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body in real time according to the data acquired by the data acquisition device.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the liquid level height in the tank body is as follows:
H1=L–V*△t1
in the formula:
△t1=t1-T,
h1 denotes the measured level height;
t represents the moment when the electronic bin in the magnetostrictive liquid level meter sends out torsional waves;
t1 is the torsional wave reception time;
v represents the propagation velocity of the torsional wave in the waveguide filament;
l represents the probe length.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the density of the liquid in the tank body is as follows:
G=ρ1(V0+S*h1)=ρ2(V0+S*h2)
in the formula:
g represents the weight of the density float;
ρ 1 represents an initial calibration density;
ρ 2 represents the measured liquid density;
v0 represents the volume of the irregular part of the density float immersed in the liquid;
h1 represents the height at which a regular part of the density float in the liquid of the density ρ 1 is immersed in the liquid;
h2 represents the height at which the regular part of the density float is immersed in the liquid of the density ρ 2;
s represents the cross-sectional area of the regular portion of the density float.
According to the working method of the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the leakage rate of the liquid in the tank body is as follows:
calculating the leakage rate of each time according to temperature compensation to obtain (L1, S1), (L2, S2), …, (Li, Si), wherein Li is the simulated leakage rate,
in the formula:
li-leak rate of level gauge system test;
si-the simulated leakage rate that actually occurs;
i-data from 1 to n.
Deviation B:
in the formula:
and B, dividing the difference between the leakage rate and the simulated leakage rate by the average value obtained by the test times, wherein the deviation is used for measuring the accuracy of the control center and can be positive or negative.
Variance BD:
standard deviation SD: the standard deviation is the square root of the variance;
to check whether the system under test has a statistically significant deviation from zero, the deviation B calculated above is tested to calculate the t statistic as follows:
false alarm rate PFA: when the storage tank or the pipeline is actually closed, the displayed leakage rate exceeds the probability that the system should display the boundary condition or standard of the leakage, and generally, if the estimated leakage rate exceeds a certain value or a certain boundary condition C (such as 0.4L/H), the control center judges that the storage tank leaks; assuming C represents the threshold or standard for leakage, B is the estimated deviation of the system, SD is the standard deviation, then the false alarm rate PFA:
PFA=P{t>(C-B)/SD}………………………………(5)
the accuracy rate PD is the probability that the system can correctly identify the leak rate of a certain size, and when the leak rate is R, the accuracy rate PD:
PD=P{t>(C-R-B)/SD}………………………………(6)
according to the oil tank monitoring system for the gas station based on the LoRa technology, the method for calculating the liquid mass in the tank body is as follows:
M=A×(P1-P3)
in the formula:
m is the oil weight;
rho is the average density of the liquid in the tank;
P1the tank bottom pressure;
P3as tank top pressure (floating roof tank P)3=0);
H1Is T1Mounting height;
h is the liquid level height;
a is the effective cross-sectional area of the tank;
g represents the gravitational acceleration.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention and not to limit it; although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art will understand that: modifications to the specific embodiments of the invention or equivalent substitutions for parts of the technical features may be made; without departing from the spirit of the present invention, it is intended to cover all aspects of the invention as defined by the appended claims.
Claims (7)
1. The utility model provides a filling station uses oil tank monitoring system based on loRa technique which characterized in that: the intelligent control system comprises a tank body, a handheld terminal and a control center, wherein the data acquisition device, the handheld terminal and the control center are in wireless connection through an LoRa technology and perform data transmission, and the tank body is internally provided with the data acquisition device; the data acquisition device comprises a magnetostrictive liquid level instrument, the magnetostrictive liquid level instrument comprises a stainless steel protection pipe, an electronic bin fixedly arranged at the upper part of the stainless steel protection pipe, a waveguide wire fixedly arranged in the stainless steel protection pipe, a density floater and an oil level floater, and the density floater and the oil level floater are slidably arranged on the stainless steel protection pipe; a plurality of temperature sensors are also arranged in the magnetostrictive liquid level meter; and a pressure sensor is arranged at the bottom of the tank body.
2. A fuel tank monitoring system for a gasoline station based on the LoRa technology as claimed in claim 1, wherein: and an inclination angle sensor is arranged in the electronic bin.
3. The operating method of the oil tank monitoring system for the gas station based on the LoRa technology as claimed in claim 1, wherein the control center can calculate and update the liquid level height, the liquid density, the liquid leakage rate and the liquid quality in the tank body in real time according to the data collected by the data collecting device.
4. The operating method of a fuel tank monitoring system for a filling station based on the LoRa technology as claimed in claim 3, wherein the method for calculating the height of the liquid level in the tank body comprises:
H1=L–V*△t1
in the formula:
△t1=t1-T,
h1 denotes the measured level height;
t represents the moment when the electronic bin in the magnetostrictive liquid level meter sends out torsional waves;
t1 is the torsional wave reception time;
v represents the propagation velocity of the torsional wave in the waveguide wire;
l represents the probe length.
5. The operating method of the fuel tank monitoring system for the filling station based on the LoRa technology as claimed in claim 3, wherein the method for calculating the density of the liquid in the tank body comprises the following steps:
G=ρ1(V0+S*h1)=ρ2(V0+S*h2)
in the formula:
g represents the weight of the density float;
ρ 1 represents an initial calibration density;
ρ 2 represents the measured liquid density;
v0 represents the volume of the irregular part of the density float immersed in the liquid;
h1 represents the height at which the regular part of the density float is immersed in the liquid in the density of ρ 1;
h2 represents the height at which the regular part of the density float is immersed in the liquid of the density ρ 2;
s represents the cross-sectional area of the regular portion of the density float.
6. A method for operating a fuel tank monitoring system for a gasoline station based on LoRa technique as claimed in claim 3, wherein the method for calculating the leakage rate of the liquid in the tank body comprises:
calculating the leakage rate of each time according to temperature compensation to obtain (L1, S1), (L2, S2), …, (Li, Si), wherein Li is the simulated leakage rate,
in the formula:
li-leak rate of level gauge system test;
si-the simulated leakage rate that actually occurs;
i-data from 1 to n.
Deviation B:
in the formula:
and B, dividing the difference between the leakage rate and the simulated leakage rate by the average value obtained by the test times, wherein the deviation is used for measuring the accuracy of the control center and can be positive or negative.
Variance BD:
standard deviation SD: the standard deviation is the square root of the variance;
to check whether the system under test has a statistically significant deviation from zero, the deviation B calculated above is tested as follows, calculating the t statistic:
false alarm rate PFA: when the storage tank or the pipeline is actually closed, the displayed leakage rate exceeds the probability that the system should display the boundary condition or standard of the leakage, and generally, if the estimated leakage rate exceeds a certain value or a certain boundary condition C (such as 0.4L/H), the control center judges that the storage tank leaks; assuming C represents the threshold or standard for leakage, B is the estimated deviation of the system, SD is the standard deviation, then the false alarm rate PFA:
PFA=P{t>(C-B)/SD}………………………………(5)
the accuracy rate PD is the probability that the system can correctly identify the leak rate of a certain size, and when the leak rate is R, the accuracy rate PD:
PD=P{t>(C-R-B)/SD}………………………………(6) 。
7. a fuel tank monitoring system for a fuel station based on the LoRa technology as claimed in claim 3, wherein the method for calculating the liquid mass in the tank body comprises:
M=A×(P1-P3)
in the formula:
m is the oil weight;
rho is the average density of the liquid in the tank;
P1the tank bottom pressure;
P3as tank top pressure (floating roof tank P)3=0);
H1Is T1Mounting height;
h is the liquid level height;
a is the effective cross-sectional area of the tank;
g represents the gravitational acceleration.
Priority Applications (1)
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CN202210232146.3A CN114719897A (en) | 2022-03-09 | 2022-03-09 | Oil tank monitoring system for gas station based on LoRa technology and working method thereof |
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CN202210232146.3A CN114719897A (en) | 2022-03-09 | 2022-03-09 | Oil tank monitoring system for gas station based on LoRa technology and working method thereof |
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CN202210232146.3A Withdrawn CN114719897A (en) | 2022-03-09 | 2022-03-09 | Oil tank monitoring system for gas station based on LoRa technology and working method thereof |
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CN1374513A (en) * | 2002-04-06 | 2002-10-16 | 徐晗 | Magnetostriction-type liquid level, density and mass measurer |
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CN103034200A (en) * | 2012-12-11 | 2013-04-10 | 南京富岛信息工程有限公司 | On-line computation device utilizing liquid level method for computing storage tank oil gas liquid chemical weight |
CN204374025U (en) * | 2015-01-27 | 2015-06-03 | 郑州永邦测控技术有限公司 | A kind of liquid density on-line measurement device |
CN104848873A (en) * | 2014-02-18 | 2015-08-19 | 空中客车运营简化股份公司 | Method of sensor data fusion |
CN105890844A (en) * | 2016-06-11 | 2016-08-24 | 税爱社 | Qualitative and quantitative detection method for tiny leakage of hidden oil storage tank |
CN208432300U (en) * | 2018-07-31 | 2019-01-25 | 郑州永邦测控技术有限公司 | A kind of tank truck oil metering system |
CN109340582A (en) * | 2018-11-22 | 2019-02-15 | 深圳市欧佩亚海洋工程有限公司 | A kind of submarine pipeline leakage monitoring method and system |
CN110203875A (en) * | 2019-06-10 | 2019-09-06 | 郑州永邦测控技术有限公司 | Gas station's integrated control system |
CN214748324U (en) * | 2021-06-25 | 2021-11-16 | 北京西普霍斯科技有限公司 | Oil tank liquid level monitoring device for gas station |
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CN1374513A (en) * | 2002-04-06 | 2002-10-16 | 徐晗 | Magnetostriction-type liquid level, density and mass measurer |
CN2695924Y (en) * | 2003-08-07 | 2005-04-27 | 范明军 | Level meter |
CN102778254A (en) * | 2011-05-11 | 2012-11-14 | 北京航天金泰星测技术有限公司 | On-line liquid detection device and density calibration system and density calibration method thereof |
CN102519553A (en) * | 2012-01-06 | 2012-06-27 | 青岛澳科仪器有限责任公司 | Magnetostrictive liquid level meter |
CN103034200A (en) * | 2012-12-11 | 2013-04-10 | 南京富岛信息工程有限公司 | On-line computation device utilizing liquid level method for computing storage tank oil gas liquid chemical weight |
CN104848873A (en) * | 2014-02-18 | 2015-08-19 | 空中客车运营简化股份公司 | Method of sensor data fusion |
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CN110203875A (en) * | 2019-06-10 | 2019-09-06 | 郑州永邦测控技术有限公司 | Gas station's integrated control system |
CN214748324U (en) * | 2021-06-25 | 2021-11-16 | 北京西普霍斯科技有限公司 | Oil tank liquid level monitoring device for gas station |
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